ServiceNow and IBM results trigger software stock selloff By Investing.com

Software stocks sold off sharply after disappointing reactions to earnings from ServiceNow and IBM, with ServiceNow down 18%, IBM down 9.25%, Salesforce down 9.4%, and the iShares Expanded Tech-Software ETF off about 5%. ServiceNow cited U.S.-Iran war tensions as a headwind to quarterly subscription revenue, while broader concern intensified that AI tools from Anthropic and OpenAI could pressure traditional cloud subscription models. The sector remains under heavy pressure, with the software ETF down roughly 18% year to date.

Analysis

This is less a single-name earnings miss than a regime shift in how software multiples should be underwritten. The market is discounting a double hit: cyclical budget caution from geopolitics now, and structural margin compression later if AI agents start unbundling seat-based pricing. That combination is toxic because it destroys the usual defense that software names get relief from recurring revenue quality during macro slowdowns.

The first-order losers are the horizontal workflow and back-office franchises most exposed to “good enough” automation. The second-order winners are not necessarily the hyperscalers themselves, but the infra layers that monetize usage, distribution, and model access rather than per-seat subscriptions; that supports relative strength in platform AI names versus application-layer SaaS. Expect enterprise buyers to stretch implementation cycles over the next 1-2 quarters, which disproportionately hits net-new ACV and elevates churn risk in smaller vendors before it shows up in headline growth.

The setup into big tech earnings is asymmetric: if the cloud/platform cohort can show AI is accretive to spend and not just cannibalistic, the entire software de-rating can pause for 2-4 weeks. If not, the selloff broadens from multiple compression to estimate cuts, which is where drawdowns get larger and faster. The key is that the market is already pricing a lot of bad news; the next leg depends on whether management teams can credibly frame AI as margin expansion rather than product substitution.

Contrarian take: the move may be too indiscriminate in the highest-quality franchises. Names with embedded mission-critical workflows, high switching costs, and strong free cash flow can absorb pricing pressure better than the market is implying, while weaker mid-cap SaaS remains vulnerable to valuation air pockets. The risk is not that software goes to zero; it is that dispersion explodes and investors stop paying for growth without proof of AI durability.

Key Decisions for Investors

• Initiate a 2-4 week relative-value short basket: short NOW/CRM/HUBS vs long MSFT/GOOGL into next week's megacap earnings; target 8-12% spread capture if AI commentary supports platform spend and application multiples keep compressing.
• Buy short-dated downside protection on the software ETF or on the weakest names into the earnings cluster; use 1-2 month puts as a hedge against guidance resets and estimate cuts, with risk defined to premium paid.
• On weakness, selectively add to MSFT and GOOGL on a 1-3 month horizon if managements show AI monetization and cloud reacceleration; these are the best risk/reward expressions if the market is overpricing substitution risk.
• Avoid catching falling knives in NOW, CRM, and WDAY until post-earnings revisions stabilize; the near-term risk is not valuation but multiple compression from reduced visibility, which can persist 1-2 quarters.
• If looking for a tactical pair, long ORCL / short ADBE for 4-6 weeks: the market may reward infrastructure and usage leverage over creative-app exposure, with tighter downside if big tech confirms enterprise AI spend.